Revenue systems built right. Then taught to run themselves.
I architect Salesforce-based revenue systems for growth-stage companies: data models built correctly from the start, sales processes that match how deals actually move, and forecasting people trust. Then I build AI agents that run the repetitive work, so the system improves instead of decaying.
One architect, four disciplines.
Architect
GTM operating systems designed end to end, not point fixes.
Build
Salesforce/Hubspot configuration and custom data modeling, 5x Salesforce certified, 7x Hubspot certified.
Leadership
Cross-functional alignment across sales, marketing, CS, and ops, making sure everyone rows in the same direction.
AI
Production AI agents that extend the system, built by hand.
Systems first, agents second.
I architect the revenue system, then build the AI layer that runs it. Both catalogs are scoped, documented, and ready to deploy.
45 RevOps builds, designed and deployed before you ask.
The build library is the system layer: data models, automation, scoring, forecasting, and lifecycle frameworks, each one designed and implemented in production Salesforce orgs for growth-stage revenue teams.
51 GTM agents, mapped before you ask.
A working catalog of AI agent builds across Sales, Marketing, Customer Success, and RevOps, scoped by business impact. If your team runs on Salesforce or HubSpot, most of these can be live in weeks, not quarters.